Showing posts with label stocks. Show all posts
Showing posts with label stocks. Show all posts

Thursday, 1 September 2011

algoservice.com analysis styles

this  type of analysis also available to use on  algoservice.com
it is a  implementation of the  google-visual-api and the algoservice.com
backend.

the place where stocks come in contact with (jython,AI,perl,gnuplot,clustering)

click text to use the software:

www.algoservice.com (equity analysis)
PS:dont forget creating the initial bookmark otherwise wont work only partial




Monday, 22 August 2011

RTIX



RTIX


Forecasts two analysis techniques
lates cluster analysis >>>1 symbols
lates technical analysis >>>1 symbols

symbol: RTIX
cid: 0
cnumber: 2
cscore: 222
lastupdate: 2011-08-19 00:00:00
avg(cscore): 222.0000
count(t.symbol): 14
pct: 0.0062143

powerd by:

www.algoservice.com (equity analysis)

using (k-means+fittnes+rsi+bb+macd+psar+ema+sma over 5 time-zones)

RTIX

RTIX



RTIX


Forecasts two analysis techniques
lates cluster analysis >>>1 symbols
lates technical analysis >>>1 symbols

symbol: RTIX
calculated after close:: 2011-08-19
previousPctMade: 3.604
volume: 784300
avgvolume: 342887
volume/avgvolume: 2.2873
countdays: 127
buyonclose: 3.65
round(ema,2): 3.40
rsi: 83
tr: 154.0
upper: 3.74
lower: 2.90
MACD: 0.12344
MACD_SIGNAL: 0.12344
upbreak: 0
lowbreak: 0
typeofbreakout: +rsibreak+rsi>rsiema
signalPriviousCount: 4

powerd by:

www.algoservice.com (equity analysis)

using (k-means+fittnes+rsi+bb+macd+psar+ema+sma over 5 time-zones)

RTIX

Friday, 19 August 2011

ASFI



ASFI


Forecasts two analysis techniques
lates cluster analysis >>>2 symbols
lates technical analysis >>>4 symbols

symbol: ASFI
cid: 0
cnumber: 1
cscore: 37
lastupdate: 2011-08-19 00:00:00
avg(cscore): 37.0000
count(t.symbol): 9
pct: 0.4196667

powerd by:

www.algoservice.com (equity analysis)

using (k-means+fittnes+rsi+bb+macd+psar+ema+sma over 5 time-zones)

ASFI

Thursday, 18 August 2011

How does cluster analysis work with equity

My daily forecast has 3 components

1) the simplest part is the technical -analysis running over daily quotes ohlc
time-series 150 day, indicators trigger automatic every day
using:(pasr,bolinger,ema,sma,rsi,macd,st)

2) part two is statistical sampler for (today,2day,5day,10day,30day,all-time)


3) k-means cluster algorithm which test all symbols as the technical analysis,
to split all companies into 10 cluster and after selecting only those symbols
within the top cluster.
k-means uses a matrix to create clusters
like this [50dayCHG%, 200dayCHG%, %todayCHG%, DIV, M.CAP]
for each symbol




so to make them appear in the list
they have be in top cluster + technical signal
and the statistics must show earlier trades making money
for that combination
:)